Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "111"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 111 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 26 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 26 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 111, Node N10:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460009 digital_ok 100.00% 0.00% 100.00% 0.00% - - 9.350289 15.050850 0.639369 13.717991 5.562965 8.852556 42.296063 2.867111 0.5602 0.0642 0.4158 nan nan
2460008 digital_ok 100.00% 0.00% 96.92% 0.00% - - 39.220689 18.397062 1.743373 15.090011 3.010867 7.785815 2.442355 5.657914 0.5333 0.0829 0.3288 nan nan
2460007 digital_ok 100.00% 0.00% 99.89% 0.00% - - 29.515473 13.752625 1.412460 11.797773 3.465357 7.226208 7.269946 3.055323 0.4875 0.0657 0.3188 nan nan
2459999 digital_ok 0.00% 98.91% 99.08% 0.00% - - nan nan nan nan nan nan nan nan 0.2624 0.2306 0.2194 nan nan
2459998 digital_ok 100.00% 0.00% 100.00% 0.00% - - 28.544985 11.650891 1.290522 9.982610 1.467061 10.242129 3.072837 2.313136 0.4748 0.0576 0.3184 nan nan
2459997 digital_ok 100.00% 0.00% 100.00% 0.00% - - 31.010530 12.693897 1.279156 10.732182 1.447509 9.652016 3.966135 3.937303 0.4917 0.0653 0.3224 nan nan
2459996 digital_ok 100.00% 0.00% 100.00% 0.00% - - 32.269730 13.710123 1.959634 13.146863 1.102406 9.281582 3.316202 1.700617 0.4886 0.0627 0.3318 nan nan
2459995 digital_ok 100.00% 0.00% 100.00% 0.00% - - 34.296875 13.865448 1.318695 12.339438 1.816382 9.523638 4.129357 1.359815 0.4955 0.0674 0.3306 nan nan
2459994 digital_ok 100.00% 0.00% 99.57% 0.00% - - 34.150538 13.454299 1.152565 10.825094 1.755214 9.575229 3.974764 1.873463 0.4885 0.0604 0.3336 nan nan
2459993 digital_ok 100.00% 0.00% 98.11% 0.00% - - 39.108023 12.669397 0.747553 10.007154 5.762453 10.935918 8.903885 2.594276 0.4697 0.0464 0.3238 nan nan
2459991 digital_ok 100.00% 0.00% 100.00% 0.00% - - 39.860222 15.673635 1.083426 10.595305 4.615899 10.774775 7.784303 1.074023 0.4832 0.0563 0.3282 nan nan
2459990 digital_ok 100.00% 0.00% 100.00% 0.00% - - 31.683956 12.896195 0.993650 10.288313 5.329859 11.068743 18.612296 1.039106 0.4881 0.0582 0.3306 nan nan
2459989 digital_ok 100.00% 0.00% 100.00% 0.00% - - 32.319087 13.078447 0.778966 9.409693 4.832818 9.285545 7.611176 0.607436 0.4917 0.0546 0.3385 nan nan
2459988 digital_ok 100.00% 0.00% 99.84% 0.00% - - 39.883836 15.304054 0.951485 10.573462 3.556297 13.233975 7.451913 0.888676 0.4881 0.0575 0.3246 nan nan
2459987 digital_ok 100.00% 0.00% 98.00% 0.00% - - 32.973823 12.785210 1.080876 10.443937 1.292093 7.984577 1.551138 2.371465 0.4882 0.0683 0.3184 nan nan
2459986 digital_ok 100.00% 0.00% 97.52% 0.00% - - 40.012680 15.759733 1.188032 11.289027 2.791294 11.273826 2.890096 9.847831 0.5155 0.0805 0.3232 nan nan
2459985 digital_ok 100.00% 0.00% 99.95% 0.00% - - 36.948314 14.227802 1.207240 10.502703 1.200186 8.620191 -0.086699 2.479065 0.4862 0.0618 0.3175 nan nan
2459984 digital_ok 100.00% 0.00% 96.92% 0.00% - - 33.802738 13.670705 1.419952 10.885485 2.035136 12.064654 -0.029231 3.225242 0.5071 0.0823 0.3154 nan nan
2459983 digital_ok 100.00% 21.93% 100.00% 0.00% - - 41.752795 13.510041 1.735032 10.292621 4.416704 11.116559 1.814702 6.471497 0.2829 0.0611 0.1441 nan nan
2459982 digital_ok 100.00% 0.00% 87.30% 0.00% - - 22.800352 10.567661 1.645058 8.671700 2.092761 5.056369 0.877748 3.135462 0.4020 0.1248 0.2169 nan nan
2459981 digital_ok 100.00% 0.00% 100.00% 0.00% - - 27.135943 12.517518 2.813737 10.783914 5.262107 11.976767 1.615584 1.280316 0.3019 0.0847 0.1730 nan nan
2459980 digital_ok 100.00% 0.00% 91.68% 0.00% - - 26.348750 12.060877 2.480850 9.856624 5.124084 10.424646 2.945676 5.137114 0.3600 0.1102 0.1923 nan nan
2459979 digital_ok 100.00% 0.00% 100.00% 0.00% - - 27.879608 12.582020 2.244326 9.223745 4.691529 9.824220 2.043451 1.085674 0.2965 0.0771 0.1741 nan nan
2459978 digital_ok 100.00% 0.00% 100.00% 0.00% - - 28.572652 12.837238 2.557157 9.932125 4.529721 10.661595 2.186622 1.274169 0.2876 0.0745 0.1708 nan nan
2459977 digital_ok 100.00% 0.00% 100.00% 0.00% - - 29.623255 13.636599 1.103260 9.786906 7.283141 10.868877 2.287414 1.493878 0.2956 0.0843 0.1626 nan nan
2459976 digital_ok 100.00% 0.00% 79.08% 0.00% - - -0.040457 11.883499 -0.499553 10.172576 -0.425421 10.184482 1.924558 1.457278 0.6398 0.1769 0.4661 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 111: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Temporal Discontinuties 42.296063 9.350289 15.050850 0.639369 13.717991 5.562965 8.852556 42.296063 2.867111

Antenna 111: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 39.220689 18.397062 39.220689 15.090011 1.743373 7.785815 3.010867 5.657914 2.442355

Antenna 111: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 29.515473 29.515473 13.752625 1.412460 11.797773 3.465357 7.226208 7.269946 3.055323

Antenna 111: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 111: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 28.544985 28.544985 11.650891 1.290522 9.982610 1.467061 10.242129 3.072837 2.313136

Antenna 111: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 31.010530 31.010530 12.693897 1.279156 10.732182 1.447509 9.652016 3.966135 3.937303

Antenna 111: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 32.269730 32.269730 13.710123 1.959634 13.146863 1.102406 9.281582 3.316202 1.700617

Antenna 111: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 34.296875 34.296875 13.865448 1.318695 12.339438 1.816382 9.523638 4.129357 1.359815

Antenna 111: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 34.150538 34.150538 13.454299 1.152565 10.825094 1.755214 9.575229 3.974764 1.873463

Antenna 111: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 39.108023 39.108023 12.669397 0.747553 10.007154 5.762453 10.935918 8.903885 2.594276

Antenna 111: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 39.860222 39.860222 15.673635 1.083426 10.595305 4.615899 10.774775 7.784303 1.074023

Antenna 111: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 31.683956 12.896195 31.683956 10.288313 0.993650 11.068743 5.329859 1.039106 18.612296

Antenna 111: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 32.319087 13.078447 32.319087 9.409693 0.778966 9.285545 4.832818 0.607436 7.611176

Antenna 111: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 39.883836 15.304054 39.883836 10.573462 0.951485 13.233975 3.556297 0.888676 7.451913

Antenna 111: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 32.973823 32.973823 12.785210 1.080876 10.443937 1.292093 7.984577 1.551138 2.371465

Antenna 111: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 40.012680 15.759733 40.012680 11.289027 1.188032 11.273826 2.791294 9.847831 2.890096

Antenna 111: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 36.948314 14.227802 36.948314 10.502703 1.207240 8.620191 1.200186 2.479065 -0.086699

Antenna 111: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 33.802738 33.802738 13.670705 1.419952 10.885485 2.035136 12.064654 -0.029231 3.225242

Antenna 111: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 41.752795 41.752795 13.510041 1.735032 10.292621 4.416704 11.116559 1.814702 6.471497

Antenna 111: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 22.800352 22.800352 10.567661 1.645058 8.671700 2.092761 5.056369 0.877748 3.135462

Antenna 111: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 27.135943 12.517518 27.135943 10.783914 2.813737 11.976767 5.262107 1.280316 1.615584

Antenna 111: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 26.348750 12.060877 26.348750 9.856624 2.480850 10.424646 5.124084 5.137114 2.945676

Antenna 111: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 27.879608 27.879608 12.582020 2.244326 9.223745 4.691529 9.824220 2.043451 1.085674

Antenna 111: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 28.572652 12.837238 28.572652 9.932125 2.557157 10.661595 4.529721 1.274169 2.186622

Antenna 111: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Shape 29.623255 29.623255 13.636599 1.103260 9.786906 7.283141 10.868877 2.287414 1.493878

Antenna 111: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 11.883499 11.883499 -0.040457 10.172576 -0.499553 10.184482 -0.425421 1.457278 1.924558
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